ON THE INTEGRATION OF UNBOUNDED FUNCTIONS*

Size: px
Start display at page:

Download "ON THE INTEGRATION OF UNBOUNDED FUNCTIONS*"

Transcription

1 1932.] INTEGRATION OF UNBOUNDED FUNCTIONS 123 ON THE INTEGRATION OF UNBOUNDED FUNCTIONS* BY W. M. WHYBURN 1. Introduction. The author has shown f that F. Riesz' treatment of intégration} leads in every case to the Lebesgue integral. This demonstration makes possible a complete development of the theory of Lebesgue integration from the Riesz point of view. Such a development offers a number of advantages over the usual treatment and is especially desirable when one wishes to build a Lebesgue theory on a previous treatment of the Riemann integral. The purpose of the present paper is to emphasize further the importance of the Riesz point of view in a treatment of the general subject of integration by establishing additional relations between sequences of simple functions and functions that are summable in the senses of Lebesgue, Harnack, Denjoy, Denjoy-Khintchine-Young, and Young. The terminology and notation of Riesz' paper are used. 2. Preliminary Definitions and Theorems. In this section we give a number of definitions and theorems which are well known but which are essential for the development of later theorems. Simple function.^ A function <f>{x) is said to be a simple function on X: a^xsb, if there exist n + 1 points: Xo = a<xi<x 2 < - -<x n = b, such that </>(#) =<^, a constant,onii'.xi<x<#»+i. Null set. A set of points K is said to be of measure zero if for each e>0, there exists an at most countably infinite set of intervals such that each point of K is an interior point of some one of these intervals and the sum of the lengths of the intervals * Presented to the Society, November 28, t This Bulletin, vol. 37(1931), pp Î Acta Mathematica, vol. 42(1920), pp This point of view is essentially that used in the ordinary treatment of the Riemann integral. Loc. cit. We work entirely in the real domain. If These functions have also been called horizontal or step functions. In this connection see Ettlinger, American Journal of Mathematics, vol. 48 (1926), pp

2 124 W. M. WHYBURN [February, is less than e. Such a set of points is called a null set, and a property which holds everywhere on an interval X with the exception of points of a null set is said to hold almost everywhere on X, or is said to hold on X 0. Integral of a simple function. By J l a<j>{x)dx, where <j>{x) is a simple function on X, we mean ^*»o< *Ai, where Ai = Xi+i Xi is the length of Ii. THEOREM 1. If f(x) is the limit function on X 0 of a uniformly bounded sequence [0 W (#)] of simple f unctions, then lim n ^J h a<t>n{x)dx exists, and furthermore this limit is the same for all uniformly bounded sequences of simple f unctions which approach f (x) on XQ. Theorem 1 was proved by F. Riesz.* He used the limit whose existence is asserted in this theorem as a definition of f b af(x)dx. The author has established f the following theorem which shows that Riesz' integral is identical with the Lebesgue integral. THEOREM 2. A necessary and sufficient condition that a bounded function be measurable is that it be the limit function on X 0 of a uniformly bounded sequence of simple f unctions. Riesz established J the following theorem. THEOREM 3. A necessary and sufficient condition that a bounded function f(x) be Riemann integrable on X is that there exist a sequence [</>n(#)] of simple functions which approaches f {x) uniformly almost everywhere on X, that is, uniformly in the neighborhoods of all points on XQ. Measure of a set of points. Let K be a set of points on the interval X and let f(x) = 1 at points of K and f(x) = 0 on X K. If faf(x)dx exists the point set K is said to be measurable and its measure m{k) is defined as the value of J b af{x)dx. 3. Unbounded Functions. We now consider functions which may be unbounded on their interval of definition X: a^x^b. * Loc. cit., p f W. M. Whyburn, loc. cit., pp. 561 and 564. t Loc. cit., p This is a Lebesgue integral but is defined by the Riesz method and hence uses the measure of null sets only in its definition.

3 1932.] INTEGRATION OF UNBOUNDED FUNCTIONS 125 THEOREM 4. A necessary and sufficient condition that a function f(x) be measurable on X is that there exist a sequence of simple functions that approaches f(x) on X 0. PROOF. Necessity. Let f(x) be measurable and let Fi(x) =f(x) when /(x) ^i, Fi(x)=i when f(x)>i } and Fi(x) = i when \f(x) < i. The bounded functions Fi(x), (i = l, 2, ), are measurable and hence by Theorem 2 there exist sequences [< in(#)] of simple functions which approach these functions on X 0. By EgerofFs theorem* the sequence [<t>i n (x) ] approaches Fi{x) uniformly on X except for a set of arbitrarily small measure. For each i choose an index Ni so that \(j>ini(x) Fi(x) <(l/2*) except on a set Ei of measure less than 1/2*. Let <)>i(x) = (l>in i (x) f (i = 1, 2, 3, ). We prove that [<l>i(x) ] is a sequence which approaches ƒ (x) on X 0. Let E be the subset of X on which [4>i(x) ] does not approach ƒ (x). If E is of positive measure, we can determine a number j such that the subset D of E on which /0*0 Sj is of positive measure c (otherwise E would consist of an at most countably infinite set of null sets and would therefore be of measure zero). Let j be chosen and then choose n>j such that l/2 w <c/4. We have 0 n+r (*)- F n + r (x) <l/(2 w+r ) except on a set of measure less than l/(2 n+r ), (V=l, 2, ) At each point of D, F n+r (x)=f(x), and hence with the possible exception of a subset of measure less than ^2?=il/(2 n+r ) <c/2, we have 0»+ r (*) ƒ(*) <l/(2 n+r ), 0= 1, 2, -),ond. Hence lim^c/^x) =f(x) on a subset of D of measure c/2 which contradicts the assumption that this limit does not hold at any point of D. This completes the proof of the necessity. Sufficiency. Let [0n(*O] De a sequence of simple functions which approaches ƒ(x) on X 0 and let Mi and ikf 2, Afi<ikf 2, be any two constants. Let E be the subset of X on which M\ ^f(x) ^ M 2. Let F(x) =ƒ(*) when Mi-1 ƒ(*) ^ M 2 +1, F(*) = itfi-1 when /0)<ikfi-l, JP(x) = ikf 2 +l when /(^)>M Let 6i(x) = (j>i(x) when 0*(#) lies between Mi 1 and M" 2 +l, fl<(x) = Af 1 1 when <t>i(x)^mi l 9 6i(x) = M 2 +l when 0*(a) ^M 2 +l. Now [#;(#)] is a uniformly bounded sequence of simple functions which approaches the bounded function F{x) on X 0. Hence by Theorem 2, F(x) is measurable on X and the set of points for which Mi ^ F(x) ^ M 2 is measurable. This set, how- * See Hobson, Functions o f a Real Variable, vol. 2, p. 140.

4 126 W. M, WHYBURN [February, ever, is the set E and hence E is measurable. It follows from this that ƒ (x) is measurable on X. Definition of property B. A sequence [< n(#)] of simple functions is said to have property B if for each e>0, there exists a number M such that if I(n> e) denotes the set of intervals on which \<t> n (x) \>M t then /z (w,o \(j>n(x) \dx<e, (w = l, 2, ), where fi(n,e) \<f> n (x) \dx means the sum of the integrals of 0 n (#) on the separate intervals of I(n, e). THEOREM 5. If [(j> n (x)} is a sequence of simple f unctions which has property B and which is such that lining <j> n (x) exists on X 0, then lining J h a<t> n {x)dx exists. PROOF. Let e = l. We know that \J h a(j> n {x)dx g Mi(b a) +//(n,i) \<t>n(x) \dx<mx(b a) + l for all n. The set of numbers Kn = Ja4>n(x)dx is therefore bounded. Hence there is at least one number K which either is identical with infinitely many of the numbers K n or is the limit of a subsequence of [K n ]. In either case we may pick out a sequence [6i(x) ] of simple functions from the sequence [< n (a0] in such a way that [0;(x)] approaches the same limit function/(x) as [0 n (#)L nas property J3, and is such that limi^qo di(x)dx exists. LEMMA. If [h n (x) ] and [g n (x) ] are two sequences of simple functions which approach f (x) on XQ and which have property B, then if lim nh>00 fah n (x)dx and Um n^00 J b ag n (x)dx exist, these limits are equal. PROOF OF LEMMA. Let us suppose that \im n + 0Q f b ah n (x)dx = H, lim n^o0 f b ag n (x)dx = G, and let?7 = 7e>0 be arbitrarily assigned. Choose Ni so that for all n>n% I h n (x)dx H < e, f g n (x)dx G va I \ *J a <. Let M be the larger of the two numbers M e for [Â W (#)] and kn(#)] by property B. Let J(n, e) and J'(n, e), respectively, be the sets of intervals on which \g n (x) \ >M and \h n (x)\>m. Hence I g n {x) dx <, I h n (x) I dx<, (^=1,2, ). Let G n (x) = g n (x) when \g n (x) ^ M, G n (x) = M when g n {x) > M,

5 I93 2 -] INTEGRATION OF UNBOUNDED FUNCTIONS 127 G n (x)= M when g n {x)< M\ and let H n (x)~h n (x) when \h n (x)\^m, H n (x) = M when h n (x)>m, H n (x)= M when h n (x)< M. It follows immediately that [ \G n (x) H n (x) ] is a sequence of uniformly bounded simple functions that approaches zero on X 0. By Theorems 1 and 2 we may choose an index N, N>N U such that or all n > N (4) ƒ G n{x\ H n (x) \ dx < e. We have */a t/j(n,c) g f G.(*)d* + f ^ + gn(x) ]d#,,6 Ja J H n(x)dx a I */J'(n, ) ^ f H n (x)dx + f Ja Jj'(n,c) M + h n {x) ]d#. a h n (x)dx Since If < g n (#) on /(/z, e) and M< \h n (x) on J'(n } have e), we /» b s*b,% b (2) I G n {x)dx - 2e < I gn(x)dx < I G n {x)dx + 2e, J a J a J a»&»&» b J H n (x)dx - 2e < I h n (x)dx < I H n (x)dx + 2e. a J a J a If we combine (2) and (3) and make use of (4), we obtain I gn{x)dx I h n (x)dx %) a J a + 4e < 5e, forw > iv. < I [Gn(x) - H n (x)]dx A combination of (5) with (1) yields \G-H\<7e, for all n>n. Since rj = 7e was arbitrarily chosen, it follows that G = H. PROOF OF THEOREM 5. If lim,^ J b a4> n (x)dx is not X", we may pick a subsequence [g,(x)] from [0»(#)] which approaches ƒ(x)

6 128 W. M. WHYBURN [February on Xo, has property B, and is such that lim,-.*» Jlgj{x)dx exists and is different from K. But by the lemma, Jlgj{x)dx must approach the same limit as J h adi{x)dx. It follows from this that lining f b a<f> n {x)dx exists. COROLLARY. If [g n (x)] and [h n {x)] are any two sequences of simple functions that approach f{x) on X 0 and that have property B, then lining Jlg n {x)dx and lining f h ah n {x)dx exist and these limits are equal. THEOREM 6. A necessary and sufficient condition that a function f(x) be summable {in the sense of Lebesgué) is that there exist a sequence [</> n (#)] of simple f unctions which approaches f {x) on X 0 and which has property B. Proof of sufficiency. This may be proved directly or we may obtain it as a consequence of a theorem due to de la Vallée Poussin.* We note that the absolute continuity of the integrals J(f>n{x)dx 1 {n 1, 2, ), is uniform, f since for a given e >0 we may choose ô = e/[2ikf e / 2 ], and S is independent of n. It follows then from de la Vallée Poussin's theorem that f{x) is summable onx. Proof of necessity. Let f{x) be summable on X and let X be subdivided into n equal parts by the points X\y X2y, vv/l 1» Letx 0 =aand x n = b. On IiiXi^x<Xi+i, let<f> n {x) : = fl i^f{x)dx/a il (i = 0,, n l), where Ai = Xi+i~Xi. It followsj from the absolute continuity of ff{x)dx that lim nh>00 4> n {x) =f{x) on X 0. It remains to show that [0n(#)] has property B. Let g{x) = \f{x), h n {x)=f x j+ l g{x)dx/ai on I u (i = 0, 1,,» 1). Let e>0 be assigned and let ô>0 be chosen so that f(e)g{t)dt<e, when e is a measurable subset of X such that w(e)^s. The existence of S follows from the absolute continuity of jtg{i)dt. Let gj{x) =g{x) when \g{x) \^j, gj{x)=j when g{x)>j. The integral J b agj{x)dx is an increasing function of j and has J\g{x)dx as its limit as j becomes infinite. Choose / so that for all j ^ /, J h ag{x)dx fagi{%)dx<e. Let k denote the subset of X on which g{x) >J and let ki denote the subset of k that lies on 7 t -. We have hk)g{x)dx =J2l^of(k i )g{x)dx < e. Now * Transactions of this Society, vol. 16 (1915), p t For definition, see de la Vallée Poussin, loc. cit. p t See W. M. Whyburn, loc. cit., p. 562, for a detailed proof of this.

7 1932.] INTEGRATION OF UNBOUNDED FUNCTIONS 129 *»(*) = Uilt-ki)g(x)dx + f(ki)g(x)dx]/ai ^ J + f(ki)g(x)dx/ai, on /,-. Let M = J+e/8. In order that h n (x) be greater than M e on /» it is necessary that f ( k i )g(x)dx/a i be greater than e/8 and hence A»- be less than [V ]/<fy)go*0^#«from this it follows that the sum I'(n, e) of intervals on which h n (x)>m is of measure less than Y^l=o[a/e]f iki )g(x)dx<eo/es S. Hence fin n,*)g(x)dx == fi, (n, )h n (x)dx<e. Since \<i> n (x)\sh n (x), it follows that the set I(n, e) of intervals on which \4> n (x) \>M is a subset of /'(^> ) and that /j (n, ) 0 n (ff) \dx is less than e for all n. This proves that [0 n (#)] has property B. THEOREM 7. If f{x) is summable on X and if \<t> n (x)\ is any sequence of simple functions which has prpperty B and which approaches f (x) on X 0, then lim nh(00 f h a4>n{x)dx exists and is equal to J b af(x)dx. PROOF. This theorem follows immediately from Theorem 5 and a theorem of de la Vallée Poussin.* A theorem of de la Vallée Poussinf enables us to state Theorem 6 in the following form. THEOREM 8. A necessary and sufficient condition that a function f{x) be summable on X: a^x^b, is that there exist a sequence [<t>n{x) ] of simple functions that approaches f (x) on X 0 and is such that the absolute continuity of the indefinite integrals of these simple f unctions is uniform. We may now state and prove the following theorems which apply when the integrals are taken in senses that are more general than that of Lebesgue. Let ƒ (x) be a function on X : a g x ^ b, and let any definition of the integral of f(x) be given which exists for f(x) and which has the further property that if J(a, b) denotes this integral and c, d, e are any three points of X, then J(c, d), J(c, e), J(e, d) exist and J(c, d) =J(c, e) + J(e, d). * Loc. cit., p. 446, Theorem 2. We note that the proof of Theorem V might be shortened by the use of de la Vallée Poussin's theorems. It seems desirable, however, to give this proof from the Riesz point of view in order that the theorem be available for use in a treatment of Lebesgue integration by the Riesz approach. t Loc. cit., p. 450.

8 130 W. M. WHYBURN [February, THEOREM 9. Let E be an everywhere dense set of points on X and let M denote the subset of X which has the property that if p is any point of M, then lim^p J(p, q)/iq p) exists and equals F(p), where q ranges on the set E. There exists a sequence \<j> n {pc)\ of simple functions such that this sequence converges to F{x) at each point of M and J b a4> n {x)dx = J (a, b) for n = l, 2,. PROOF. Let a method of subdivision of X be chosen in such a way that all of the subdivision points belong to E and the length of the maximum subdivision approaches zero as the number of these subdivisions becomes infinite. Let the points of subdivision, in order of increasing magnitude, for the nth stage of the subdivision be Xo = a, xi, Xi, -, x n = b. On Ii\ Xi^x<x%+u let <t>n(x)=j(xi, Xi+i)/(xi+i Xi), (i = 0, 1,, w 1). Consider [<f> n (x)]>(n=l,2, - ) Let p be any point of M, and for each n let I Pn : p n^x<q n be the subdivision that contains p. Now <l>n(p)=j(pn, qn)/(qn-pn) = [J(pn, P)+AP, ün)]/(qn-pn)=j(pn, P)/iP~Pn) + [J(P, qn)/(ün-p)-j(pn, P) I\P'~P'») ] [(<Z«" P) I'((Z»" Pn)l We note that \{g, n p)/{q n p n )\^\ while its coefl&cient has zero for its limit (since both terms approach F(p)). Since lim^oo J(p n, p)/(p-pn) is F(p), we have lim n^oo 4>niP)-F{p). In case p is a point of subdivision,* we replace the indeterminate ratio in the above formula for <j> n (p) by the limit of this ratio (which is F(p)). Finally, we note that, for each n, fa<l>n(x)dx =Ysl=oJ(Xi, *<+l) = Jfa, &) COROLLARY 1. If E is identical with X, then M is the set of points at which J (a, x) has a derivative with respect to x. In particular, if this derivative is equal to f(x) at a point of M, then [</> n (x) ] converges to f(x) at this point. COROLLARY 2. If fix) is integrable in the sense of Harnack- Lebesgue, Denjoy, or Lebesgue, the conditions of Theorem 9 are satisfied if E is any everywhere dense set on X and M is X 0. Furthermore, Fix) =ƒ(#) on XQ. COROLLARY 3. If fix) is integrable in the D enjoy-khintchine- Young sense and if X can be divided into a countable number of * We define <f> n (b) = 0n(#n-i).

9 i93 2 -] REFLECTIONS IN FUNCTION SPACE 131 measurable sets in such a way that the indefinite integrals (in the D-K-Y sense) are absolutely continuous on each of these* then the conditions of Theorem 9 are satisfied when J (a, b) denotes the D-K-Y integral of ƒ(#), E is any everywhere dense set on X, M is X 0, and F(x) =ƒ(#) on X 0. It is a very simple matter to extend the results of the present paper to cases where the interval of definition X is replaced by any measurable point set E on X. The definition of f(x) is extended to points of X E by letting ƒ (x) be zero at such points. The integral of f(x) on E is then described in terms of the integral of the extended function on X. One could define a simple function on a point set by saying that it is a function which takes on only a finite number of values on this set. This definition is not needed in the present adaptation. THE UNIVERSITY OF CALIFORNIA AT LOS ANGELES REFLECTIONS IN FUNCTION SPACE t BY L. S. KENNISON 1. Introduction. The purpose of this paper is to point out an error,j giving the corrected form of the incorrect theorem referred to below as Delsarte's theorem, also to prove a generalization. However, the contribution made to the geometry of function space may be interesting to some on its own account. We shall consider only functions of one or two variables defined on the interval (a, b) or the corresponding square. All such functions are to be bounded and integrable on the range of definition. We shall denote the continuous arguments on (a, b) by the letters x, s, t, u, written as subscripts or superscripts and shall imply integration on (a, b) with respect to any argument that occurs twice in the same term. * See Khintchine, Comptes Rendus, vol. 152 (1916), p t Presented to the Society, February 28, t See 3 below.

A PROPERTY OF CONTINUITY*

A PROPERTY OF CONTINUITY* 1922.] A PEOPEETY OP CONTINUITY 245 A PROPERTY OF CONTINUITY* BY D. C. GILLESPIE If and rj are two points of the interval (a, b) in which the function f(x) is continuous, then the function takes on all

More information

THE INTEGRABILITY OF A SEQUENCE OF FUNCTIONS*

THE INTEGRABILITY OF A SEQUENCE OF FUNCTIONS* THE INTEGRABILITY OF A SEQUENCE OF FUNCTIONS* BY R. l. jeffery 1. Introduction. Let f=fx,f2, be a sequence of functions summable on the measurable set E, and convergent on E to the summable function F.

More information

DIFFERENTIATION OF SEQUENCES*

DIFFERENTIATION OF SEQUENCES* T935-1 DIFFERENTIATION OF SEQUENCES 553 DIFFERENTIATION OF SEQUENCES* BY ORRIN FRINK, JR. Conditions under which one may differentiate term by term a convergent sequence of functions are to be found in

More information

A NOTE ON LINEAR FUNCTIONALS R. P. BOAS, JR., AND J. W. TUKEY

A NOTE ON LINEAR FUNCTIONALS R. P. BOAS, JR., AND J. W. TUKEY 1938] LINEAR FUNCTIONALS 523 A slight modification of the example given shows that if N is chosen arbitrarily, there exists a limited region* having at least JV distinct points O whose conjugates D lie

More information

ON THE EXTENSION OF A FUNCTIONAL INEQUALITY OF S. BERNSTEIN TO NON-ANALYTIC FUNCTIONS 1

ON THE EXTENSION OF A FUNCTIONAL INEQUALITY OF S. BERNSTEIN TO NON-ANALYTIC FUNCTIONS 1 ON THE EXTENSION OF A FUNCTIONAL INEQUALITY OF S. BERNSTEIN TO NON-ANALYTIC FUNCTIONS 1 R. J. DUFFIN AND A. C. SCHAEFFER We wish to demonstrate here the following elementary inequality of the differential

More information

Birth-death chain. X n. X k:n k,n 2 N k apple n. X k: L 2 N. x 1:n := x 1,...,x n. E n+1 ( x 1:n )=E n+1 ( x n ), 8x 1:n 2 X n.

Birth-death chain. X n. X k:n k,n 2 N k apple n. X k: L 2 N. x 1:n := x 1,...,x n. E n+1 ( x 1:n )=E n+1 ( x n ), 8x 1:n 2 X n. Birth-death chains Birth-death chain special type of Markov chain Finite state space X := {0,...,L}, with L 2 N X n X k:n k,n 2 N k apple n Random variable and a sequence of variables, with and A sequence

More information

Problem Set 2: Solutions Math 201A: Fall 2016

Problem Set 2: Solutions Math 201A: Fall 2016 Problem Set 2: s Math 201A: Fall 2016 Problem 1. (a) Prove that a closed subset of a complete metric space is complete. (b) Prove that a closed subset of a compact metric space is compact. (c) Prove that

More information

DIFFERENTIATION WITH RESPEC TO A FUNCTION OF LIMITED VARIATION*

DIFFERENTIATION WITH RESPEC TO A FUNCTION OF LIMITED VARIATION* DIFFERENTIATION WITH RESPEC TO A FUNCTION OF LIMITED VARIATION* BY P. J. DANIELL Lebesgue, Radon, and Youngf have defined integrals with respect to a function of limited variation, and these are generalizations

More information

DISTANCE FUNCTIONS AND THE METRIZATION PROBLEM*

DISTANCE FUNCTIONS AND THE METRIZATION PROBLEM* 1937-1 DISTANCE FUNCTIONS AND METRIZATION 133 DISTANCE FUNCTIONS AND THE METRIZATION PROBLEM* BY A. H. FRINK 1. Introduction. The metrization problem f is concerned with conditions under which a topological

More information

Section 21. The Metric Topology (Continued)

Section 21. The Metric Topology (Continued) 21. The Metric Topology (cont.) 1 Section 21. The Metric Topology (Continued) Note. In this section we give a number of results for metric spaces which are familar from calculus and real analysis. We also

More information

Analysis Comprehensive Exam Questions Fall F(x) = 1 x. f(t)dt. t 1 2. tf 2 (t)dt. and g(t, x) = 2 t. 2 t

Analysis Comprehensive Exam Questions Fall F(x) = 1 x. f(t)dt. t 1 2. tf 2 (t)dt. and g(t, x) = 2 t. 2 t Analysis Comprehensive Exam Questions Fall 2. Let f L 2 (, ) be given. (a) Prove that ( x 2 f(t) dt) 2 x x t f(t) 2 dt. (b) Given part (a), prove that F L 2 (, ) 2 f L 2 (, ), where F(x) = x (a) Using

More information

ON PERRON INTEGRATION

ON PERRON INTEGRATION ON PERRON INTEGRATION E. J. McSHANE The definition of integral here presented had its origin in an unsuccessful attempt to establish the theorem on integration by parts 1 (Theorem 4.1 of this note) for

More information

Supplementary Notes for W. Rudin: Principles of Mathematical Analysis

Supplementary Notes for W. Rudin: Principles of Mathematical Analysis Supplementary Notes for W. Rudin: Principles of Mathematical Analysis SIGURDUR HELGASON In 8.00B it is customary to cover Chapters 7 in Rudin s book. Experience shows that this requires careful planning

More information

Analysis Comprehensive Exam Questions Fall 2008

Analysis Comprehensive Exam Questions Fall 2008 Analysis Comprehensive xam Questions Fall 28. (a) Let R be measurable with finite Lebesgue measure. Suppose that {f n } n N is a bounded sequence in L 2 () and there exists a function f such that f n (x)

More information

SOME MEASURABILITY AND CONTINUITY PROPERTIES OF ARBITRARY REAL FUNCTIONS

SOME MEASURABILITY AND CONTINUITY PROPERTIES OF ARBITRARY REAL FUNCTIONS LE MATEMATICHE Vol. LVII (2002) Fasc. I, pp. 6382 SOME MEASURABILITY AND CONTINUITY PROPERTIES OF ARBITRARY REAL FUNCTIONS VITTORINO PATA - ALFONSO VILLANI Given an arbitrary real function f, the set D

More information

1/12/05: sec 3.1 and my article: How good is the Lebesgue measure?, Math. Intelligencer 11(2) (1989),

1/12/05: sec 3.1 and my article: How good is the Lebesgue measure?, Math. Intelligencer 11(2) (1989), Real Analysis 2, Math 651, Spring 2005 April 26, 2005 1 Real Analysis 2, Math 651, Spring 2005 Krzysztof Chris Ciesielski 1/12/05: sec 3.1 and my article: How good is the Lebesgue measure?, Math. Intelligencer

More information

MINIMUM PROBLEMS IN THE FUNCTIONAL CALCULUS 1

MINIMUM PROBLEMS IN THE FUNCTIONAL CALCULUS 1 MINIMUM PROBLEMS IN THE FUNCTIONAL CALCULUS 1 HERMAN H. GOLDSTINE In the year 1922 Hahn 2 published a proof of a multiplier rule for a problem more general than the well known problem of Bolza, and later,

More information

convergence theorem in abstract set up. Our proof produces a positive integrable function required unlike other known

convergence theorem in abstract set up. Our proof produces a positive integrable function required unlike other known https://sites.google.com/site/anilpedgaonkar/ profanilp@gmail.com 218 Chapter 5 Convergence and Integration In this chapter we obtain convergence theorems. Convergence theorems will apply to various types

More information

CONCERNING CONNECTED AND REGULAR POINT SETS*

CONCERNING CONNECTED AND REGULAR POINT SETS* 19*7-1 CONNECTED POINT SETS 685 CONCERNING CONNECTED AND REGULAR POINT SETS* BY G. T. WHYBURN In this paper an extension will be given of a theorem of the author'sf which states that if A and B are any

More information

Problem set 1, Real Analysis I, Spring, 2015.

Problem set 1, Real Analysis I, Spring, 2015. Problem set 1, Real Analysis I, Spring, 015. (1) Let f n : D R be a sequence of functions with domain D R n. Recall that f n f uniformly if and only if for all ɛ > 0, there is an N = N(ɛ) so that if n

More information

Chapter 5. Measurable Functions

Chapter 5. Measurable Functions Chapter 5. Measurable Functions 1. Measurable Functions Let X be a nonempty set, and let S be a σ-algebra of subsets of X. Then (X, S) is a measurable space. A subset E of X is said to be measurable if

More information

Logical Connectives and Quantifiers

Logical Connectives and Quantifiers Chapter 1 Logical Connectives and Quantifiers 1.1 Logical Connectives 1.2 Quantifiers 1.3 Techniques of Proof: I 1.4 Techniques of Proof: II Theorem 1. Let f be a continuous function. If 1 f(x)dx 0, then

More information

FUNCTIONS THAT PRESERVE THE UNIFORM DISTRIBUTION OF SEQUENCES

FUNCTIONS THAT PRESERVE THE UNIFORM DISTRIBUTION OF SEQUENCES transactions of the american mathematical society Volume 307, Number 1, May 1988 FUNCTIONS THAT PRESERVE THE UNIFORM DISTRIBUTION OF SEQUENCES WILLIAM BOSCH ABSTRACT. In this paper, necessary and sufficient

More information

FOURIER COEFFICIENTS OF BOUNDED FUNCTIONS 1

FOURIER COEFFICIENTS OF BOUNDED FUNCTIONS 1 FOURIER COEFFICIENTS OF BOUNDED FUNCTIONS 1 BERNARD FRIEDMAN The results of this paper are divided into two parts. First: inequalities for the Fourier coefficients of any bounded function ; second : an

More information

ON THE GIBBS PHENOMENON FOR HARMONIC MEANS FU CHENG HSIANG. 1. Let a sequence of functions {fn(x)} converge to a function/(se)

ON THE GIBBS PHENOMENON FOR HARMONIC MEANS FU CHENG HSIANG. 1. Let a sequence of functions {fn(x)} converge to a function/(se) ON THE GIBBS PHENOMENON FOR HARMONIC MEANS FU CHENG HSIANG 1. Let a sequence of functions {fn(x)} converge to a function/(se) for x0

More information

MATHS 730 FC Lecture Notes March 5, Introduction

MATHS 730 FC Lecture Notes March 5, Introduction 1 INTRODUCTION MATHS 730 FC Lecture Notes March 5, 2014 1 Introduction Definition. If A, B are sets and there exists a bijection A B, they have the same cardinality, which we write as A, #A. If there exists

More information

Mathematical Methods for Physics and Engineering

Mathematical Methods for Physics and Engineering Mathematical Methods for Physics and Engineering Lecture notes for PDEs Sergei V. Shabanov Department of Mathematics, University of Florida, Gainesville, FL 32611 USA CHAPTER 1 The integration theory

More information

Upper Bounds for Partitions into k-th Powers Elementary Methods

Upper Bounds for Partitions into k-th Powers Elementary Methods Int. J. Contemp. Math. Sciences, Vol. 4, 2009, no. 9, 433-438 Upper Bounds for Partitions into -th Powers Elementary Methods Rafael Jaimczu División Matemática, Universidad Nacional de Luján Buenos Aires,

More information

Some topics in analysis related to Banach algebras, 2

Some topics in analysis related to Banach algebras, 2 Some topics in analysis related to Banach algebras, 2 Stephen Semmes Rice University... Abstract Contents I Preliminaries 3 1 A few basic inequalities 3 2 q-semimetrics 4 3 q-absolute value functions 7

More information

212a1214Daniell s integration theory.

212a1214Daniell s integration theory. 212a1214 Daniell s integration theory. October 30, 2014 Daniell s idea was to take the axiomatic properties of the integral as the starting point and develop integration for broader and broader classes

More information

Real Analysis Problems

Real Analysis Problems Real Analysis Problems Cristian E. Gutiérrez September 14, 29 1 1 CONTINUITY 1 Continuity Problem 1.1 Let r n be the sequence of rational numbers and Prove that f(x) = 1. f is continuous on the irrationals.

More information

Doubly Indexed Infinite Series

Doubly Indexed Infinite Series The Islamic University of Gaza Deanery of Higher studies Faculty of Science Department of Mathematics Doubly Indexed Infinite Series Presented By Ahed Khaleel Abu ALees Supervisor Professor Eissa D. Habil

More information

A NOTE ON REGULAR BANACH SPACES* B. J. PETTIS. XJJ) = ƒ(*)

A NOTE ON REGULAR BANACH SPACES* B. J. PETTIS. XJJ) = ƒ(*) 420 B. J. PETTIS [June If one weakens the requirements still further and only asks that a square be magic in the rows and columns, then a pair of antipodal elements can add up to 17 without the square

More information

Functional Analysis Winter 2018/2019

Functional Analysis Winter 2018/2019 Functional Analysis Winter 2018/2019 Peer Christian Kunstmann Karlsruher Institut für Technologie (KIT) Institut für Analysis Englerstr. 2, 76131 Karlsruhe e-mail: peer.kunstmann@kit.edu These lecture

More information

Solutions: Problem Set 4 Math 201B, Winter 2007

Solutions: Problem Set 4 Math 201B, Winter 2007 Solutions: Problem Set 4 Math 2B, Winter 27 Problem. (a Define f : by { x /2 if < x

More information

Math 104: Homework 7 solutions

Math 104: Homework 7 solutions Math 04: Homework 7 solutions. (a) The derivative of f () = is f () = 2 which is unbounded as 0. Since f () is continuous on [0, ], it is uniformly continous on this interval by Theorem 9.2. Hence for

More information

RELATIVELY UNIFORM CONVERGENCE OF SEQUENCES OF FUNCTIONS*

RELATIVELY UNIFORM CONVERGENCE OF SEQUENCES OF FUNCTIONS* RELATIVELY UNIFORM CONVERGENCE OF SEQUENCES OF FUNCTIONS* BY E. W. CHITTENDEN E. H. Moore t has introduced the notion of uniform convergence of a sequence of functions relative to a scale function. It

More information

From now on, we will represent a metric space with (X, d). Here are some examples: i=1 (x i y i ) p ) 1 p, p 1.

From now on, we will represent a metric space with (X, d). Here are some examples: i=1 (x i y i ) p ) 1 p, p 1. Chapter 1 Metric spaces 1.1 Metric and convergence We will begin with some basic concepts. Definition 1.1. (Metric space) Metric space is a set X, with a metric satisfying: 1. d(x, y) 0, d(x, y) = 0 x

More information

THEOREMS, ETC., FOR MATH 515

THEOREMS, ETC., FOR MATH 515 THEOREMS, ETC., FOR MATH 515 Proposition 1 (=comment on page 17). If A is an algebra, then any finite union or finite intersection of sets in A is also in A. Proposition 2 (=Proposition 1.1). For every

More information

function provided the associated graph function g:x -) X X Y defined

function provided the associated graph function g:x -) X X Y defined QUASI-CLOSED SETS AND FIXED POINTS BY GORDON T. WHYBURN UNIVERSITY OF VIRGINIA Communicated December 29, 1966 1. Introduction.-In this paper we develop new separation and intersection properties of certain

More information

MAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9

MAT 570 REAL ANALYSIS LECTURE NOTES. Contents. 1. Sets Functions Countability Axiom of choice Equivalence relations 9 MAT 570 REAL ANALYSIS LECTURE NOTES PROFESSOR: JOHN QUIGG SEMESTER: FALL 204 Contents. Sets 2 2. Functions 5 3. Countability 7 4. Axiom of choice 8 5. Equivalence relations 9 6. Real numbers 9 7. Extended

More information

AN EXTENSION OF A THEOREM OF NAGANO ON TRANSITIVE LIE ALGEBRAS

AN EXTENSION OF A THEOREM OF NAGANO ON TRANSITIVE LIE ALGEBRAS PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 45, Number 3, September 197 4 AN EXTENSION OF A THEOREM OF NAGANO ON TRANSITIVE LIE ALGEBRAS HÉCTOR J. SUSSMANN ABSTRACT. Let M be a real analytic

More information

Real Analysis Comprehensive Exam Fall A(k, ε) is of Lebesgue measure zero.

Real Analysis Comprehensive Exam Fall A(k, ε) is of Lebesgue measure zero. Real Analysis Comprehensive Exam Fall 2002 by XYC Good luck! [1] For ε>0andk>0, denote by A(k, ε) thesetofx Rsuch that x p q 1 for any integers p, q with q 0. k q 2+ε Show that R \ k=1 A(k, ε) is of Lebesgue

More information

On Convergence of Sequences of Measurable Functions

On Convergence of Sequences of Measurable Functions On Convergence of Sequences of Measurable Functions Christos Papachristodoulos, Nikolaos Papanastassiou Abstract In order to study the three basic kinds of convergence (in measure, almost every where,

More information

Integration on Measure Spaces

Integration on Measure Spaces Chapter 3 Integration on Measure Spaces In this chapter we introduce the general notion of a measure on a space X, define the class of measurable functions, and define the integral, first on a class of

More information

Real Analysis, 2nd Edition, G.B.Folland Elements of Functional Analysis

Real Analysis, 2nd Edition, G.B.Folland Elements of Functional Analysis Real Analysis, 2nd Edition, G.B.Folland Chapter 5 Elements of Functional Analysis Yung-Hsiang Huang 5.1 Normed Vector Spaces 1. Note for any x, y X and a, b K, x+y x + y and by ax b y x + b a x. 2. It

More information

n»i \ v f(x + h)-f(x-h)

n»i \ v f(x + h)-f(x-h) PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 72, Number 2, November 1978 SYMMETRIC AND ORDINARY DIFFERENTIATION C. L. BELNA, M. J. EVANS AND P. D. HUMKE Abstract. In 1927, A. Khintchine proved

More information

A Measure and Integral over Unbounded Sets

A Measure and Integral over Unbounded Sets A Measure and Integral over Unbounded Sets As presented in Chaps. 2 and 3, Lebesgue s theory of measure and integral is limited to functions defined over bounded sets. There are several ways of introducing

More information

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product

Finite-dimensional spaces. C n is the space of n-tuples x = (x 1,..., x n ) of complex numbers. It is a Hilbert space with the inner product Chapter 4 Hilbert Spaces 4.1 Inner Product Spaces Inner Product Space. A complex vector space E is called an inner product space (or a pre-hilbert space, or a unitary space) if there is a mapping (, )

More information

FUNDAMENTALS OF REAL ANALYSIS by. IV.1. Differentiation of Monotonic Functions

FUNDAMENTALS OF REAL ANALYSIS by. IV.1. Differentiation of Monotonic Functions FUNDAMNTALS OF RAL ANALYSIS by Doğan Çömez IV. DIFFRNTIATION AND SIGND MASURS IV.1. Differentiation of Monotonic Functions Question: Can we calculate f easily? More eplicitly, can we hope for a result

More information

Lecture 5: Expectation

Lecture 5: Expectation Lecture 5: Expectation 1. Expectations for random variables 1.1 Expectations for simple random variables 1.2 Expectations for bounded random variables 1.3 Expectations for general random variables 1.4

More information

Some analysis problems 1. x x 2 +yn2, y > 0. g(y) := lim

Some analysis problems 1. x x 2 +yn2, y > 0. g(y) := lim Some analysis problems. Let f be a continuous function on R and let for n =,2,..., F n (x) = x (x t) n f(t)dt. Prove that F n is n times differentiable, and prove a simple formula for its n-th derivative.

More information

Real Analysis Math 131AH Rudin, Chapter #1. Dominique Abdi

Real Analysis Math 131AH Rudin, Chapter #1. Dominique Abdi Real Analysis Math 3AH Rudin, Chapter # Dominique Abdi.. If r is rational (r 0) and x is irrational, prove that r + x and rx are irrational. Solution. Assume the contrary, that r+x and rx are rational.

More information

CHAPTER I THE RIESZ REPRESENTATION THEOREM

CHAPTER I THE RIESZ REPRESENTATION THEOREM CHAPTER I THE RIESZ REPRESENTATION THEOREM We begin our study by identifying certain special kinds of linear functionals on certain special vector spaces of functions. We describe these linear functionals

More information

Math212a1413 The Lebesgue integral.

Math212a1413 The Lebesgue integral. Math212a1413 The Lebesgue integral. October 28, 2014 Simple functions. In what follows, (X, F, m) is a space with a σ-field of sets, and m a measure on F. The purpose of today s lecture is to develop the

More information

Introduction to Real Analysis Alternative Chapter 1

Introduction to Real Analysis Alternative Chapter 1 Christopher Heil Introduction to Real Analysis Alternative Chapter 1 A Primer on Norms and Banach Spaces Last Updated: March 10, 2018 c 2018 by Christopher Heil Chapter 1 A Primer on Norms and Banach Spaces

More information

Entrance Exam, Real Analysis September 1, 2017 Solve exactly 6 out of the 8 problems

Entrance Exam, Real Analysis September 1, 2017 Solve exactly 6 out of the 8 problems September, 27 Solve exactly 6 out of the 8 problems. Prove by denition (in ɛ δ language) that f(x) = + x 2 is uniformly continuous in (, ). Is f(x) uniformly continuous in (, )? Prove your conclusion.

More information

DIVISORS OF ZERO IN MATRIC RINGS

DIVISORS OF ZERO IN MATRIC RINGS DIVISORS OF ZERO IN MATRIC RINGS NEAL H. MCCOY 1. Introduction. An element a of a ring 6* is a divisor of zero in 5 if there exists a nonzero element x of S such that ax 0, or a nonzero element y of S

More information

In N we can do addition, but in order to do subtraction we need to extend N to the integers

In N we can do addition, but in order to do subtraction we need to extend N to the integers Chapter The Real Numbers.. Some Preliminaries Discussion: The Irrationality of 2. We begin with the natural numbers N = {, 2, 3, }. In N we can do addition, but in order to do subtraction we need to extend

More information

In N we can do addition, but in order to do subtraction we need to extend N to the integers

In N we can do addition, but in order to do subtraction we need to extend N to the integers Chapter 1 The Real Numbers 1.1. Some Preliminaries Discussion: The Irrationality of 2. We begin with the natural numbers N = {1, 2, 3, }. In N we can do addition, but in order to do subtraction we need

More information

PROBLEMS. (b) (Polarization Identity) Show that in any inner product space

PROBLEMS. (b) (Polarization Identity) Show that in any inner product space 1 Professor Carl Cowen Math 54600 Fall 09 PROBLEMS 1. (Geometry in Inner Product Spaces) (a) (Parallelogram Law) Show that in any inner product space x + y 2 + x y 2 = 2( x 2 + y 2 ). (b) (Polarization

More information

An introduction to some aspects of functional analysis

An introduction to some aspects of functional analysis An introduction to some aspects of functional analysis Stephen Semmes Rice University Abstract These informal notes deal with some very basic objects in functional analysis, including norms and seminorms

More information

ON UNILATERAL AND BILATERAL nth PEANO DERIVATIVES

ON UNILATERAL AND BILATERAL nth PEANO DERIVATIVES PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 99, Number 1, January 1987 ON UNILATERAL AND BILATERAL nth PEANO DERIVATIVES M. LACZKOVICH, D. PREISS AND C. WEIL ABSTRACT. A valid proof is given

More information

Series Solution of Linear Ordinary Differential Equations

Series Solution of Linear Ordinary Differential Equations Series Solution of Linear Ordinary Differential Equations Department of Mathematics IIT Guwahati Aim: To study methods for determining series expansions for solutions to linear ODE with variable coefficients.

More information

I ƒii - [ Jj ƒ(*) \'dzj'.

I ƒii - [ Jj ƒ(*) \'dzj'. I93 2 -] COMPACTNESS OF THE SPACE L p 79 ON THE COMPACTNESS OF THE SPACE L p BY J. D. TAMARKIN* 1. Introduction, Let R n be the ^-dimensional euclidean space and L p (p>l) the function-space consisting

More information

FUNCTIONAL ANALYSIS HAHN-BANACH THEOREM. F (m 2 ) + α m 2 + x 0

FUNCTIONAL ANALYSIS HAHN-BANACH THEOREM. F (m 2 ) + α m 2 + x 0 FUNCTIONAL ANALYSIS HAHN-BANACH THEOREM If M is a linear subspace of a normal linear space X and if F is a bounded linear functional on M then F can be extended to M + [x 0 ] without changing its norm.

More information

NOTE ON GREEN'S THEOREM.

NOTE ON GREEN'S THEOREM. 1915.] NOTE ON GREEN'S THEOREM. 17 NOTE ON GREEN'S THEOREM. BY MR. C. A. EPPERSON. (Read before the American Mathematical Society April 24, 1915.) 1. Introduction, We wish in this paper to extend Green's

More information

van Rooij, Schikhof: A Second Course on Real Functions

van Rooij, Schikhof: A Second Course on Real Functions vanrooijschikhofproblems.tex December 5, 2017 http://thales.doa.fmph.uniba.sk/sleziak/texty/rozne/pozn/books/ van Rooij, Schikhof: A Second Course on Real Functions Some notes made when reading [vrs].

More information

SYMMETRIC INTEGRALS DO NOT HAVE THE MARCINKIEWICZ PROPERTY

SYMMETRIC INTEGRALS DO NOT HAVE THE MARCINKIEWICZ PROPERTY RESEARCH Real Analysis Exchange Vol. 21(2), 1995 96, pp. 510 520 V. A. Skvortsov, Department of Mathematics, Moscow State University, Moscow 119899, Russia B. S. Thomson, Department of Mathematics, Simon

More information

Sequences. Chapter 3. n + 1 3n + 2 sin n n. 3. lim (ln(n + 1) ln n) 1. lim. 2. lim. 4. lim (1 + n)1/n. Answers: 1. 1/3; 2. 0; 3. 0; 4. 1.

Sequences. Chapter 3. n + 1 3n + 2 sin n n. 3. lim (ln(n + 1) ln n) 1. lim. 2. lim. 4. lim (1 + n)1/n. Answers: 1. 1/3; 2. 0; 3. 0; 4. 1. Chapter 3 Sequences Both the main elements of calculus (differentiation and integration) require the notion of a limit. Sequences will play a central role when we work with limits. Definition 3.. A Sequence

More information

Real Analysis Notes. Thomas Goller

Real Analysis Notes. Thomas Goller Real Analysis Notes Thomas Goller September 4, 2011 Contents 1 Abstract Measure Spaces 2 1.1 Basic Definitions........................... 2 1.2 Measurable Functions........................ 2 1.3 Integration..............................

More information

CONCERNING CONTINUA IN THE PLANE*

CONCERNING CONTINUA IN THE PLANE* CONCERNING CONTINUA IN THE PLANE* BY GORDON T. WHYBURN In this paper a study will be made of plane continua. Part I deals with continua which constitute the boundary of a connected domain and is concerned

More information

Existence of a Limit on a Dense Set, and. Construction of Continuous Functions on Special Sets

Existence of a Limit on a Dense Set, and. Construction of Continuous Functions on Special Sets Existence of a Limit on a Dense Set, and Construction of Continuous Functions on Special Sets REU 2012 Recap: Definitions Definition Given a real-valued function f, the limit of f exists at a point c R

More information

Metric Spaces and Topology

Metric Spaces and Topology Chapter 2 Metric Spaces and Topology From an engineering perspective, the most important way to construct a topology on a set is to define the topology in terms of a metric on the set. This approach underlies

More information

An idea how to solve some of the problems. diverges the same must hold for the original series. T 1 p T 1 p + 1 p 1 = 1. dt = lim

An idea how to solve some of the problems. diverges the same must hold for the original series. T 1 p T 1 p + 1 p 1 = 1. dt = lim An idea how to solve some of the problems 5.2-2. (a) Does not converge: By multiplying across we get Hence 2k 2k 2 /2 k 2k2 k 2 /2 k 2 /2 2k 2k 2 /2 k. As the series diverges the same must hold for the

More information

International Competition in Mathematics for Universtiy Students in Plovdiv, Bulgaria 1994

International Competition in Mathematics for Universtiy Students in Plovdiv, Bulgaria 1994 International Competition in Mathematics for Universtiy Students in Plovdiv, Bulgaria 1994 1 PROBLEMS AND SOLUTIONS First day July 29, 1994 Problem 1. 13 points a Let A be a n n, n 2, symmetric, invertible

More information

MATH 202B - Problem Set 5

MATH 202B - Problem Set 5 MATH 202B - Problem Set 5 Walid Krichene (23265217) March 6, 2013 (5.1) Show that there exists a continuous function F : [0, 1] R which is monotonic on no interval of positive length. proof We know there

More information

ASYMPTOTIC DISTRIBUTION OF THE MAXIMUM CUMULATIVE SUM OF INDEPENDENT RANDOM VARIABLES

ASYMPTOTIC DISTRIBUTION OF THE MAXIMUM CUMULATIVE SUM OF INDEPENDENT RANDOM VARIABLES ASYMPTOTIC DISTRIBUTION OF THE MAXIMUM CUMULATIVE SUM OF INDEPENDENT RANDOM VARIABLES KAI LAI CHUNG The limiting distribution of the maximum cumulative sum 1 of a sequence of independent random variables

More information

Measurable functions are approximately nice, even if look terrible.

Measurable functions are approximately nice, even if look terrible. Tel Aviv University, 2015 Functions of real variables 74 7 Approximation 7a A terrible integrable function........... 74 7b Approximation of sets................ 76 7c Approximation of functions............

More information

Summary of Real Analysis by Royden

Summary of Real Analysis by Royden Summary of Real Analysis by Royden Dan Hathaway May 2010 This document is a summary of the theorems and definitions and theorems from Part 1 of the book Real Analysis by Royden. In some areas, such as

More information

JUHA KINNUNEN. Harmonic Analysis

JUHA KINNUNEN. Harmonic Analysis JUHA KINNUNEN Harmonic Analysis Department of Mathematics and Systems Analysis, Aalto University 27 Contents Calderón-Zygmund decomposition. Dyadic subcubes of a cube.........................2 Dyadic cubes

More information

Lebesgue Integration on R n

Lebesgue Integration on R n Lebesgue Integration on R n The treatment here is based loosely on that of Jones, Lebesgue Integration on Euclidean Space We give an overview from the perspective of a user of the theory Riemann integration

More information

Quick Tour of the Topology of R. Steven Hurder, Dave Marker, & John Wood 1

Quick Tour of the Topology of R. Steven Hurder, Dave Marker, & John Wood 1 Quick Tour of the Topology of R Steven Hurder, Dave Marker, & John Wood 1 1 Department of Mathematics, University of Illinois at Chicago April 17, 2003 Preface i Chapter 1. The Topology of R 1 1. Open

More information

Analysis Finite and Infinite Sets The Real Numbers The Cantor Set

Analysis Finite and Infinite Sets The Real Numbers The Cantor Set Analysis Finite and Infinite Sets Definition. An initial segment is {n N n n 0 }. Definition. A finite set can be put into one-to-one correspondence with an initial segment. The empty set is also considered

More information

ON FUNCTIONS REPRESENTABLE AS A DIFFERENCE OF CONVEX FUNCTIONS

ON FUNCTIONS REPRESENTABLE AS A DIFFERENCE OF CONVEX FUNCTIONS ON FUNCTIONS REPRESENTABLE AS A DIFFERENCE OF CONVEX FUNCTIONS PHILIP HARTMAN l Introduction* A function f(x) defined on a convex x-set D will be called a dc function on D if there exists a pair of convex

More information

Dedicated to Prof. Jaroslav Kurzweil on the occasion of his 80th birthday

Dedicated to Prof. Jaroslav Kurzweil on the occasion of his 80th birthday 131 (2006) MATHEMATICA BOHEMICA No. 4, 365 378 ON MCSHANE-TYPE INTEGRALS WITH RESPECT TO SOME DERIVATION BASES Valentin A. Skvortsov, Piotr Sworowski, Bydgoszcz (Received November 11, 2005) Dedicated to

More information

ARBITRARY MAPPINGS H. O. BLOCK AND BUCHANAN CARGAL

ARBITRARY MAPPINGS H. O. BLOCK AND BUCHANAN CARGAL 1952] ARBITRARY MAPPINGS 937 11. -, Über einen functionentheorelischen Satz des Herrn. G. Mittag-Leßer, Monatsbericht der Königl. Akademie der Wissenschaften (1880) (Werke, pp. 189-199). 12. J. Worpitzky,

More information

16 1 Basic Facts from Functional Analysis and Banach Lattices

16 1 Basic Facts from Functional Analysis and Banach Lattices 16 1 Basic Facts from Functional Analysis and Banach Lattices 1.2.3 Banach Steinhaus Theorem Another fundamental theorem of functional analysis is the Banach Steinhaus theorem, or the Uniform Boundedness

More information

Three hours THE UNIVERSITY OF MANCHESTER. 24th January

Three hours THE UNIVERSITY OF MANCHESTER. 24th January Three hours MATH41011 THE UNIVERSITY OF MANCHESTER FOURIER ANALYSIS AND LEBESGUE INTEGRATION 24th January 2013 9.45 12.45 Answer ALL SIX questions in Section A (25 marks in total). Answer THREE of the

More information

Singular Integrals. 1 Calderon-Zygmund decomposition

Singular Integrals. 1 Calderon-Zygmund decomposition Singular Integrals Analysis III Calderon-Zygmund decomposition Let f be an integrable function f dx 0, f = g + b with g Cα almost everywhere, with b

More information

MATH 722, COMPLEX ANALYSIS, SPRING 2009 PART 5

MATH 722, COMPLEX ANALYSIS, SPRING 2009 PART 5 MATH 722, COMPLEX ANALYSIS, SPRING 2009 PART 5.. The Arzela-Ascoli Theorem.. The Riemann mapping theorem Let X be a metric space, and let F be a family of continuous complex-valued functions on X. We have

More information

Sobolev Spaces. Chapter Hölder spaces

Sobolev Spaces. Chapter Hölder spaces Chapter 2 Sobolev Spaces Sobolev spaces turn out often to be the proper setting in which to apply ideas of functional analysis to get information concerning partial differential equations. Here, we collect

More information

Topology. Xiaolong Han. Department of Mathematics, California State University, Northridge, CA 91330, USA address:

Topology. Xiaolong Han. Department of Mathematics, California State University, Northridge, CA 91330, USA  address: Topology Xiaolong Han Department of Mathematics, California State University, Northridge, CA 91330, USA E-mail address: Xiaolong.Han@csun.edu Remark. You are entitled to a reward of 1 point toward a homework

More information

FUNCTIONALS OF FINITE DEGREE AND THE CONVERGENCE OF THEIR FOURIER-HERMITE DEVELOPMENTS

FUNCTIONALS OF FINITE DEGREE AND THE CONVERGENCE OF THEIR FOURIER-HERMITE DEVELOPMENTS FUNCTIONALS OF FINITE DEGREE AND THE CONVERGENCE OF THEIR FOURIER-HERMITE DEVELOPMENTS ROSS E. GRAVES 1. Introduction. In this paper we define a class of functionals on the Wiener space C which play in

More information

Fourth Week: Lectures 10-12

Fourth Week: Lectures 10-12 Fourth Week: Lectures 10-12 Lecture 10 The fact that a power series p of positive radius of convergence defines a function inside its disc of convergence via substitution is something that we cannot ignore

More information

A SYSTEM OF AXIOMATIC SET THEORY PART VI 62

A SYSTEM OF AXIOMATIC SET THEORY PART VI 62 THE JOOBNAL OF SYMBOLIC LOGIC Volume 13, Number 2, June 1948 A SYSTEM OF AXIOMATIC SET THEORY PART VI 62 PAUL BEKNAYS 16. The r61e of the restrictive axiom. Comparability of classes. Till now we tried

More information

ON TOPOLOGISING THE FIELD C(t)

ON TOPOLOGISING THE FIELD C(t) ON TOPOLOGISING THE FIELD C(t) J. H. WILLIAMSON In many questions concerning the existence of fields over the complex field, with topologies satisfying given compatibility axioms, it is sufficient to restrict

More information

Measure and integration

Measure and integration Chapter 5 Measure and integration In calculus you have learned how to calculate the size of different kinds of sets: the length of a curve, the area of a region or a surface, the volume or mass of a solid.

More information

Lecture 4: Fourier Transforms.

Lecture 4: Fourier Transforms. 1 Definition. Lecture 4: Fourier Transforms. We now come to Fourier transforms, which we give in the form of a definition. First we define the spaces L 1 () and L 2 (). Definition 1.1 The space L 1 ()

More information

(U) =, if 0 U, 1 U, (U) = X, if 0 U, and 1 U. (U) = E, if 0 U, but 1 U. (U) = X \ E if 0 U, but 1 U. n=1 A n, then A M.

(U) =, if 0 U, 1 U, (U) = X, if 0 U, and 1 U. (U) = E, if 0 U, but 1 U. (U) = X \ E if 0 U, but 1 U. n=1 A n, then A M. 1. Abstract Integration The main reference for this section is Rudin s Real and Complex Analysis. The purpose of developing an abstract theory of integration is to emphasize the difference between the

More information